{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.6/site-packages/jqdata/apis/db.py:1121: UserWarning: 不建议继续使用panel（panel将在pandas未来版本不再支持，将来升级pandas后，您的策略会失败），建议 get_fundamentals_continuously 传入 panel=False 参数\n",
      "  warnings.warn(\"不建议继续使用panel（panel将在pandas未来版本不再支持，将来升级pandas后，您的策略会失败），\"\n",
      "/opt/conda/lib/python3.6/site-packages/jqdata/apis/db.py:1124: FutureWarning: \n",
      "Panel is deprecated and will be removed in a future version.\n",
      "The recommended way to represent these types of 3-dimensional data are with a MultiIndex on a DataFrame, via the Panel.to_frame() method\n",
      "Alternatively, you can use the xarray package http://xarray.pydata.org/en/stable/.\n",
      "Pandas provides a `.to_xarray()` method to help automate this conversion.\n",
      "\n",
      "  pan = newdf.to_panel()\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<class 'pandas.core.panel.Panel'>\n",
       "Dimensions: 1 (items) x 3 (major_axis) x 4158 (minor_axis)\n",
       "Items axis: pb_ratio to pb_ratio\n",
       "Major_axis axis: 2021-01-19 to 2021-01-21\n",
       "Minor_axis axis: 000001.XSHE to 689009.XSHG"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fd1 =get_fundamentals_continuously(query(\n",
    "        valuation.pb_ratio\n",
    "    ),count=4)\n",
    "fd1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "fd2=fd1.xs('pb_ratio',axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>code</th>\n",
       "      <th>000001.XSHE</th>\n",
       "      <th>000002.XSHE</th>\n",
       "      <th>000004.XSHE</th>\n",
       "      <th>000005.XSHE</th>\n",
       "      <th>000006.XSHE</th>\n",
       "      <th>000007.XSHE</th>\n",
       "      <th>000008.XSHE</th>\n",
       "      <th>000009.XSHE</th>\n",
       "      <th>000010.XSHE</th>\n",
       "      <th>000011.XSHE</th>\n",
       "      <th>000012.XSHE</th>\n",
       "      <th>000014.XSHE</th>\n",
       "      <th>000016.XSHE</th>\n",
       "      <th>000017.XSHE</th>\n",
       "      <th>000019.XSHE</th>\n",
       "      <th>000020.XSHE</th>\n",
       "      <th>000021.XSHE</th>\n",
       "      <th>000023.XSHE</th>\n",
       "      <th>000025.XSHE</th>\n",
       "      <th>000026.XSHE</th>\n",
       "      <th>000027.XSHE</th>\n",
       "      <th>000028.XSHE</th>\n",
       "      <th>000029.XSHE</th>\n",
       "      <th>000030.XSHE</th>\n",
       "      <th>000031.XSHE</th>\n",
       "      <th>000032.XSHE</th>\n",
       "      <th>000034.XSHE</th>\n",
       "      <th>000035.XSHE</th>\n",
       "      <th>000036.XSHE</th>\n",
       "      <th>000037.XSHE</th>\n",
       "      <th>000038.XSHE</th>\n",
       "      <th>000039.XSHE</th>\n",
       "      <th>000040.XSHE</th>\n",
       "      <th>000042.XSHE</th>\n",
       "      <th>000045.XSHE</th>\n",
       "      <th>000046.XSHE</th>\n",
       "      <th>000048.XSHE</th>\n",
       "      <th>000049.XSHE</th>\n",
       "      <th>000050.XSHE</th>\n",
       "      <th>000055.XSHE</th>\n",
       "      <th>...</th>\n",
       "      <th>688557.XSHG</th>\n",
       "      <th>688558.XSHG</th>\n",
       "      <th>688559.XSHG</th>\n",
       "      <th>688560.XSHG</th>\n",
       "      <th>688561.XSHG</th>\n",
       "      <th>688566.XSHG</th>\n",
       "      <th>688567.XSHG</th>\n",
       "      <th>688568.XSHG</th>\n",
       "      <th>688569.XSHG</th>\n",
       "      <th>688571.XSHG</th>\n",
       "      <th>688577.XSHG</th>\n",
       "      <th>688578.XSHG</th>\n",
       "      <th>688579.XSHG</th>\n",
       "      <th>688580.XSHG</th>\n",
       "      <th>688585.XSHG</th>\n",
       "      <th>688586.XSHG</th>\n",
       "      <th>688588.XSHG</th>\n",
       "      <th>688589.XSHG</th>\n",
       "      <th>688590.XSHG</th>\n",
       "      <th>688595.XSHG</th>\n",
       "      <th>688596.XSHG</th>\n",
       "      <th>688598.XSHG</th>\n",
       "      <th>688599.XSHG</th>\n",
       "      <th>688600.XSHG</th>\n",
       "      <th>688608.XSHG</th>\n",
       "      <th>688617.XSHG</th>\n",
       "      <th>688618.XSHG</th>\n",
       "      <th>688656.XSHG</th>\n",
       "      <th>688658.XSHG</th>\n",
       "      <th>688668.XSHG</th>\n",
       "      <th>688678.XSHG</th>\n",
       "      <th>688679.XSHG</th>\n",
       "      <th>688686.XSHG</th>\n",
       "      <th>688698.XSHG</th>\n",
       "      <th>688699.XSHG</th>\n",
       "      <th>688777.XSHG</th>\n",
       "      <th>688788.XSHG</th>\n",
       "      <th>688819.XSHG</th>\n",
       "      <th>688981.XSHG</th>\n",
       "      <th>689009.XSHG</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>day</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-01-19</th>\n",
       "      <td>1.5010</td>\n",
       "      <td>1.7930</td>\n",
       "      <td>2.3717</td>\n",
       "      <td>1.5134</td>\n",
       "      <td>1.0009</td>\n",
       "      <td>7.2110</td>\n",
       "      <td>1.0136</td>\n",
       "      <td>2.7487</td>\n",
       "      <td>6.5366</td>\n",
       "      <td>2.3147</td>\n",
       "      <td>2.0784</td>\n",
       "      <td>1.9461</td>\n",
       "      <td>1.9447</td>\n",
       "      <td>105.5266</td>\n",
       "      <td>1.7977</td>\n",
       "      <td>9.1879</td>\n",
       "      <td>4.2459</td>\n",
       "      <td>4.9267</td>\n",
       "      <td>5.4462</td>\n",
       "      <td>1.9417</td>\n",
       "      <td>1.0271</td>\n",
       "      <td>1.3623</td>\n",
       "      <td>2.1519</td>\n",
       "      <td>1.6506</td>\n",
       "      <td>0.9703</td>\n",
       "      <td>5.0564</td>\n",
       "      <td>2.9725</td>\n",
       "      <td>0.9121</td>\n",
       "      <td>1.2148</td>\n",
       "      <td>2.8618</td>\n",
       "      <td>1.7495</td>\n",
       "      <td>1.6365</td>\n",
       "      <td>0.3556</td>\n",
       "      <td>0.7908</td>\n",
       "      <td>1.3160</td>\n",
       "      <td>0.8231</td>\n",
       "      <td>4.4270</td>\n",
       "      <td>5.7351</td>\n",
       "      <td>1.1958</td>\n",
       "      <td>0.9013</td>\n",
       "      <td>...</td>\n",
       "      <td>3.2021</td>\n",
       "      <td>3.2843</td>\n",
       "      <td>4.2247</td>\n",
       "      <td>3.2421</td>\n",
       "      <td>8.4002</td>\n",
       "      <td>2.9840</td>\n",
       "      <td>4.1090</td>\n",
       "      <td>10.8028</td>\n",
       "      <td>2.0658</td>\n",
       "      <td>2.3489</td>\n",
       "      <td>3.1003</td>\n",
       "      <td>3.7004</td>\n",
       "      <td>4.7278</td>\n",
       "      <td>4.9715</td>\n",
       "      <td>4.3734</td>\n",
       "      <td>6.2171</td>\n",
       "      <td>8.3433</td>\n",
       "      <td>4.7133</td>\n",
       "      <td>3.1155</td>\n",
       "      <td>7.4483</td>\n",
       "      <td>2.7805</td>\n",
       "      <td>11.9116</td>\n",
       "      <td>2.9733</td>\n",
       "      <td>2.7891</td>\n",
       "      <td>8.4952</td>\n",
       "      <td>9.4159</td>\n",
       "      <td>4.3345</td>\n",
       "      <td>6.2457</td>\n",
       "      <td>2.8344</td>\n",
       "      <td>3.2352</td>\n",
       "      <td>2.7788</td>\n",
       "      <td>1.8422</td>\n",
       "      <td>13.4967</td>\n",
       "      <td>4.0995</td>\n",
       "      <td>4.3065</td>\n",
       "      <td>13.4393</td>\n",
       "      <td>3.6280</td>\n",
       "      <td>5.2070</td>\n",
       "      <td>4.8046</td>\n",
       "      <td>14.9917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-20</th>\n",
       "      <td>1.5097</td>\n",
       "      <td>1.7483</td>\n",
       "      <td>2.3216</td>\n",
       "      <td>1.5134</td>\n",
       "      <td>0.9789</td>\n",
       "      <td>6.9995</td>\n",
       "      <td>1.0407</td>\n",
       "      <td>2.7716</td>\n",
       "      <td>6.4506</td>\n",
       "      <td>2.2080</td>\n",
       "      <td>2.0905</td>\n",
       "      <td>1.8835</td>\n",
       "      <td>1.9532</td>\n",
       "      <td>105.0813</td>\n",
       "      <td>1.7695</td>\n",
       "      <td>10.1109</td>\n",
       "      <td>4.1625</td>\n",
       "      <td>4.9296</td>\n",
       "      <td>5.4462</td>\n",
       "      <td>1.9682</td>\n",
       "      <td>1.0323</td>\n",
       "      <td>1.3541</td>\n",
       "      <td>2.0699</td>\n",
       "      <td>1.8147</td>\n",
       "      <td>0.9436</td>\n",
       "      <td>5.0755</td>\n",
       "      <td>2.9445</td>\n",
       "      <td>0.8987</td>\n",
       "      <td>1.2057</td>\n",
       "      <td>2.8448</td>\n",
       "      <td>1.7220</td>\n",
       "      <td>1.6570</td>\n",
       "      <td>0.3511</td>\n",
       "      <td>0.7830</td>\n",
       "      <td>1.3768</td>\n",
       "      <td>0.8181</td>\n",
       "      <td>4.4211</td>\n",
       "      <td>5.9696</td>\n",
       "      <td>1.1995</td>\n",
       "      <td>0.8929</td>\n",
       "      <td>...</td>\n",
       "      <td>3.1962</td>\n",
       "      <td>3.2379</td>\n",
       "      <td>4.2486</td>\n",
       "      <td>3.2636</td>\n",
       "      <td>8.1547</td>\n",
       "      <td>2.9655</td>\n",
       "      <td>4.4671</td>\n",
       "      <td>10.7028</td>\n",
       "      <td>2.1133</td>\n",
       "      <td>2.3338</td>\n",
       "      <td>3.1147</td>\n",
       "      <td>3.7991</td>\n",
       "      <td>4.6849</td>\n",
       "      <td>4.9258</td>\n",
       "      <td>4.4115</td>\n",
       "      <td>6.1704</td>\n",
       "      <td>8.1828</td>\n",
       "      <td>4.6200</td>\n",
       "      <td>3.0900</td>\n",
       "      <td>7.5930</td>\n",
       "      <td>2.7474</td>\n",
       "      <td>12.3469</td>\n",
       "      <td>3.0663</td>\n",
       "      <td>2.7994</td>\n",
       "      <td>9.2343</td>\n",
       "      <td>9.9058</td>\n",
       "      <td>4.2168</td>\n",
       "      <td>6.7816</td>\n",
       "      <td>2.8676</td>\n",
       "      <td>3.1662</td>\n",
       "      <td>2.7815</td>\n",
       "      <td>1.8230</td>\n",
       "      <td>13.1269</td>\n",
       "      <td>4.0178</td>\n",
       "      <td>4.4587</td>\n",
       "      <td>13.0865</td>\n",
       "      <td>3.6191</td>\n",
       "      <td>4.9808</td>\n",
       "      <td>4.7196</td>\n",
       "      <td>16.1730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-21</th>\n",
       "      <td>1.4936</td>\n",
       "      <td>1.7254</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>1.5134</td>\n",
       "      <td>0.9771</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>6.4334</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>1.9334</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>1.7772</td>\n",
       "      <td>10.4412</td>\n",
       "      <td>4.1076</td>\n",
       "      <td>4.9267</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>1.3497</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>0.9414</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>1.1996</td>\n",
       "      <td>2.8277</td>\n",
       "      <td>1.7312</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>0.3500</td>\n",
       "      <td>0.7727</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>0.8104</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>1.2268</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>...</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>3.2058</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>2.0618</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>3.1572</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>4.6670</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>7.2236</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>13.0197</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>4.3646</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>3.4579</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>16.9263</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "code        000001.XSHE  000002.XSHE     ...       688981.XSHG  689009.XSHG\n",
       "day                                      ...                               \n",
       "2021-01-19       1.5010       1.7930     ...            4.8046      14.9917\n",
       "2021-01-20       1.5097       1.7483     ...            4.7196      16.1730\n",
       "2021-01-21       1.4936       1.7254     ...           10.0000      16.9263\n",
       "\n",
       "[3 rows x 4158 columns]"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fd2.fillna(10,inplace=True)\n",
    "fd2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
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       "    <tr style=\"text-align: right;\">\n",
       "      <th>code</th>\n",
       "      <th>000001.XSHE</th>\n",
       "      <th>000002.XSHE</th>\n",
       "      <th>000004.XSHE</th>\n",
       "      <th>000005.XSHE</th>\n",
       "      <th>000006.XSHE</th>\n",
       "      <th>000007.XSHE</th>\n",
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       "      <th>000009.XSHE</th>\n",
       "      <th>000010.XSHE</th>\n",
       "      <th>000011.XSHE</th>\n",
       "      <th>000012.XSHE</th>\n",
       "      <th>000014.XSHE</th>\n",
       "      <th>000016.XSHE</th>\n",
       "      <th>000017.XSHE</th>\n",
       "      <th>000019.XSHE</th>\n",
       "      <th>000020.XSHE</th>\n",
       "      <th>000021.XSHE</th>\n",
       "      <th>000023.XSHE</th>\n",
       "      <th>000025.XSHE</th>\n",
       "      <th>000026.XSHE</th>\n",
       "      <th>000027.XSHE</th>\n",
       "      <th>000028.XSHE</th>\n",
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       "      <th>000030.XSHE</th>\n",
       "      <th>000031.XSHE</th>\n",
       "      <th>000032.XSHE</th>\n",
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       "      <th>000035.XSHE</th>\n",
       "      <th>000036.XSHE</th>\n",
       "      <th>000037.XSHE</th>\n",
       "      <th>000038.XSHE</th>\n",
       "      <th>000039.XSHE</th>\n",
       "      <th>000040.XSHE</th>\n",
       "      <th>000042.XSHE</th>\n",
       "      <th>000045.XSHE</th>\n",
       "      <th>000046.XSHE</th>\n",
       "      <th>000048.XSHE</th>\n",
       "      <th>000049.XSHE</th>\n",
       "      <th>000050.XSHE</th>\n",
       "      <th>000055.XSHE</th>\n",
       "      <th>...</th>\n",
       "      <th>688557.XSHG</th>\n",
       "      <th>688558.XSHG</th>\n",
       "      <th>688559.XSHG</th>\n",
       "      <th>688560.XSHG</th>\n",
       "      <th>688561.XSHG</th>\n",
       "      <th>688566.XSHG</th>\n",
       "      <th>688567.XSHG</th>\n",
       "      <th>688568.XSHG</th>\n",
       "      <th>688569.XSHG</th>\n",
       "      <th>688571.XSHG</th>\n",
       "      <th>688577.XSHG</th>\n",
       "      <th>688578.XSHG</th>\n",
       "      <th>688579.XSHG</th>\n",
       "      <th>688580.XSHG</th>\n",
       "      <th>688585.XSHG</th>\n",
       "      <th>688586.XSHG</th>\n",
       "      <th>688588.XSHG</th>\n",
       "      <th>688589.XSHG</th>\n",
       "      <th>688590.XSHG</th>\n",
       "      <th>688595.XSHG</th>\n",
       "      <th>688596.XSHG</th>\n",
       "      <th>688598.XSHG</th>\n",
       "      <th>688599.XSHG</th>\n",
       "      <th>688600.XSHG</th>\n",
       "      <th>688608.XSHG</th>\n",
       "      <th>688617.XSHG</th>\n",
       "      <th>688618.XSHG</th>\n",
       "      <th>688656.XSHG</th>\n",
       "      <th>688658.XSHG</th>\n",
       "      <th>688668.XSHG</th>\n",
       "      <th>688678.XSHG</th>\n",
       "      <th>688679.XSHG</th>\n",
       "      <th>688686.XSHG</th>\n",
       "      <th>688698.XSHG</th>\n",
       "      <th>688699.XSHG</th>\n",
       "      <th>688777.XSHG</th>\n",
       "      <th>688788.XSHG</th>\n",
       "      <th>688819.XSHG</th>\n",
       "      <th>688981.XSHG</th>\n",
       "      <th>689009.XSHG</th>\n",
       "    </tr>\n",
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      ],
      "text/plain": [
       "code        000001.XSHE  000002.XSHE     ...       688981.XSHG  689009.XSHG\n",
       "day                                      ...                               \n",
       "2021-01-19        False        False     ...             False        False\n",
       "2021-01-20        False        False     ...             False        False\n",
       "2021-01-21        False        False     ...             False        False\n",
       "\n",
       "[3 rows x 4158 columns]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fd3 = fd2<1\n",
    "fd3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3, 4158)"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fd3.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "def countTure(x):\n",
    "    x.sum()\n",
    "    return x.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "day\n",
       "2021-01-19    414\n",
       "2021-01-20    417\n",
       "2021-01-21    261\n",
       "dtype: int64"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fd3.apply(countTure,axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "fd3['1_num'] = fd3.apply(countTure,axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
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       "      <th>code</th>\n",
       "      <th>000001.XSHE</th>\n",
       "      <th>000002.XSHE</th>\n",
       "      <th>000004.XSHE</th>\n",
       "      <th>000005.XSHE</th>\n",
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       "      <th>000011.XSHE</th>\n",
       "      <th>000012.XSHE</th>\n",
       "      <th>000014.XSHE</th>\n",
       "      <th>000016.XSHE</th>\n",
       "      <th>000017.XSHE</th>\n",
       "      <th>000019.XSHE</th>\n",
       "      <th>000020.XSHE</th>\n",
       "      <th>000021.XSHE</th>\n",
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       "      <th>000025.XSHE</th>\n",
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       "      <th>000035.XSHE</th>\n",
       "      <th>000036.XSHE</th>\n",
       "      <th>000037.XSHE</th>\n",
       "      <th>000038.XSHE</th>\n",
       "      <th>000039.XSHE</th>\n",
       "      <th>000040.XSHE</th>\n",
       "      <th>000042.XSHE</th>\n",
       "      <th>000045.XSHE</th>\n",
       "      <th>000046.XSHE</th>\n",
       "      <th>000048.XSHE</th>\n",
       "      <th>000049.XSHE</th>\n",
       "      <th>000050.XSHE</th>\n",
       "      <th>000055.XSHE</th>\n",
       "      <th>...</th>\n",
       "      <th>688558.XSHG</th>\n",
       "      <th>688559.XSHG</th>\n",
       "      <th>688560.XSHG</th>\n",
       "      <th>688561.XSHG</th>\n",
       "      <th>688566.XSHG</th>\n",
       "      <th>688567.XSHG</th>\n",
       "      <th>688568.XSHG</th>\n",
       "      <th>688569.XSHG</th>\n",
       "      <th>688571.XSHG</th>\n",
       "      <th>688577.XSHG</th>\n",
       "      <th>688578.XSHG</th>\n",
       "      <th>688579.XSHG</th>\n",
       "      <th>688580.XSHG</th>\n",
       "      <th>688585.XSHG</th>\n",
       "      <th>688586.XSHG</th>\n",
       "      <th>688588.XSHG</th>\n",
       "      <th>688589.XSHG</th>\n",
       "      <th>688590.XSHG</th>\n",
       "      <th>688595.XSHG</th>\n",
       "      <th>688596.XSHG</th>\n",
       "      <th>688598.XSHG</th>\n",
       "      <th>688599.XSHG</th>\n",
       "      <th>688600.XSHG</th>\n",
       "      <th>688608.XSHG</th>\n",
       "      <th>688617.XSHG</th>\n",
       "      <th>688618.XSHG</th>\n",
       "      <th>688656.XSHG</th>\n",
       "      <th>688658.XSHG</th>\n",
       "      <th>688668.XSHG</th>\n",
       "      <th>688678.XSHG</th>\n",
       "      <th>688679.XSHG</th>\n",
       "      <th>688686.XSHG</th>\n",
       "      <th>688698.XSHG</th>\n",
       "      <th>688699.XSHG</th>\n",
       "      <th>688777.XSHG</th>\n",
       "      <th>688788.XSHG</th>\n",
       "      <th>688819.XSHG</th>\n",
       "      <th>688981.XSHG</th>\n",
       "      <th>689009.XSHG</th>\n",
       "      <th>1_num</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>day</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-01-19</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>414</td>\n",
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       "    <tr>\n",
       "      <th>2021-01-20</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-21</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>261</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "code        000001.XSHE  000002.XSHE  ...    689009.XSHG  1_num\n",
       "day                                   ...                      \n",
       "2021-01-19        False        False  ...          False    414\n",
       "2021-01-20        False        False  ...          False    417\n",
       "2021-01-21        False        False  ...          False    261\n",
       "\n",
       "[3 rows x 4159 columns]"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fd3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['2021-01-19', '2021-01-20', '2021-01-21'], dtype='object', name='day')"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fd2.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "fd3['countall'] = [len(get_all_securities(date=i))  for i in fd2.index]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>code</th>\n",
       "      <th>000001.XSHE</th>\n",
       "      <th>000002.XSHE</th>\n",
       "      <th>000004.XSHE</th>\n",
       "      <th>000005.XSHE</th>\n",
       "      <th>000006.XSHE</th>\n",
       "      <th>000007.XSHE</th>\n",
       "      <th>000008.XSHE</th>\n",
       "      <th>000009.XSHE</th>\n",
       "      <th>000010.XSHE</th>\n",
       "      <th>000011.XSHE</th>\n",
       "      <th>000012.XSHE</th>\n",
       "      <th>000014.XSHE</th>\n",
       "      <th>000016.XSHE</th>\n",
       "      <th>000017.XSHE</th>\n",
       "      <th>000019.XSHE</th>\n",
       "      <th>000020.XSHE</th>\n",
       "      <th>000021.XSHE</th>\n",
       "      <th>000023.XSHE</th>\n",
       "      <th>000025.XSHE</th>\n",
       "      <th>000026.XSHE</th>\n",
       "      <th>000027.XSHE</th>\n",
       "      <th>000028.XSHE</th>\n",
       "      <th>000029.XSHE</th>\n",
       "      <th>000030.XSHE</th>\n",
       "      <th>000031.XSHE</th>\n",
       "      <th>000032.XSHE</th>\n",
       "      <th>000034.XSHE</th>\n",
       "      <th>000035.XSHE</th>\n",
       "      <th>000036.XSHE</th>\n",
       "      <th>000037.XSHE</th>\n",
       "      <th>000038.XSHE</th>\n",
       "      <th>000039.XSHE</th>\n",
       "      <th>000040.XSHE</th>\n",
       "      <th>000042.XSHE</th>\n",
       "      <th>000045.XSHE</th>\n",
       "      <th>000046.XSHE</th>\n",
       "      <th>000048.XSHE</th>\n",
       "      <th>000049.XSHE</th>\n",
       "      <th>000050.XSHE</th>\n",
       "      <th>000055.XSHE</th>\n",
       "      <th>...</th>\n",
       "      <th>688559.XSHG</th>\n",
       "      <th>688560.XSHG</th>\n",
       "      <th>688561.XSHG</th>\n",
       "      <th>688566.XSHG</th>\n",
       "      <th>688567.XSHG</th>\n",
       "      <th>688568.XSHG</th>\n",
       "      <th>688569.XSHG</th>\n",
       "      <th>688571.XSHG</th>\n",
       "      <th>688577.XSHG</th>\n",
       "      <th>688578.XSHG</th>\n",
       "      <th>688579.XSHG</th>\n",
       "      <th>688580.XSHG</th>\n",
       "      <th>688585.XSHG</th>\n",
       "      <th>688586.XSHG</th>\n",
       "      <th>688588.XSHG</th>\n",
       "      <th>688589.XSHG</th>\n",
       "      <th>688590.XSHG</th>\n",
       "      <th>688595.XSHG</th>\n",
       "      <th>688596.XSHG</th>\n",
       "      <th>688598.XSHG</th>\n",
       "      <th>688599.XSHG</th>\n",
       "      <th>688600.XSHG</th>\n",
       "      <th>688608.XSHG</th>\n",
       "      <th>688617.XSHG</th>\n",
       "      <th>688618.XSHG</th>\n",
       "      <th>688656.XSHG</th>\n",
       "      <th>688658.XSHG</th>\n",
       "      <th>688668.XSHG</th>\n",
       "      <th>688678.XSHG</th>\n",
       "      <th>688679.XSHG</th>\n",
       "      <th>688686.XSHG</th>\n",
       "      <th>688698.XSHG</th>\n",
       "      <th>688699.XSHG</th>\n",
       "      <th>688777.XSHG</th>\n",
       "      <th>688788.XSHG</th>\n",
       "      <th>688819.XSHG</th>\n",
       "      <th>688981.XSHG</th>\n",
       "      <th>689009.XSHG</th>\n",
       "      <th>1_num</th>\n",
       "      <th>countall</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>day</th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th>2021-01-19</th>\n",
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       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>261</td>\n",
       "      <td>4160</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "code        000001.XSHE  000002.XSHE    ...     1_num  countall\n",
       "day                                     ...                    \n",
       "2021-01-19        False        False    ...       414      4154\n",
       "2021-01-20        False        False    ...       417      4157\n",
       "2021-01-21        False        False    ...       261      4160\n",
       "\n",
       "[3 rows x 4160 columns]"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fd3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>code</th>\n",
       "      <th>000001.XSHE</th>\n",
       "      <th>000002.XSHE</th>\n",
       "      <th>000004.XSHE</th>\n",
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       "      <th>000014.XSHE</th>\n",
       "      <th>000016.XSHE</th>\n",
       "      <th>000017.XSHE</th>\n",
       "      <th>000019.XSHE</th>\n",
       "      <th>000020.XSHE</th>\n",
       "      <th>000021.XSHE</th>\n",
       "      <th>000023.XSHE</th>\n",
       "      <th>000025.XSHE</th>\n",
       "      <th>000026.XSHE</th>\n",
       "      <th>000027.XSHE</th>\n",
       "      <th>000028.XSHE</th>\n",
       "      <th>000029.XSHE</th>\n",
       "      <th>000030.XSHE</th>\n",
       "      <th>000031.XSHE</th>\n",
       "      <th>000032.XSHE</th>\n",
       "      <th>000034.XSHE</th>\n",
       "      <th>000035.XSHE</th>\n",
       "      <th>000036.XSHE</th>\n",
       "      <th>000037.XSHE</th>\n",
       "      <th>000038.XSHE</th>\n",
       "      <th>000039.XSHE</th>\n",
       "      <th>000040.XSHE</th>\n",
       "      <th>000042.XSHE</th>\n",
       "      <th>000045.XSHE</th>\n",
       "      <th>000046.XSHE</th>\n",
       "      <th>000048.XSHE</th>\n",
       "      <th>000049.XSHE</th>\n",
       "      <th>000050.XSHE</th>\n",
       "      <th>000055.XSHE</th>\n",
       "      <th>...</th>\n",
       "      <th>688560.XSHG</th>\n",
       "      <th>688561.XSHG</th>\n",
       "      <th>688566.XSHG</th>\n",
       "      <th>688567.XSHG</th>\n",
       "      <th>688568.XSHG</th>\n",
       "      <th>688569.XSHG</th>\n",
       "      <th>688571.XSHG</th>\n",
       "      <th>688577.XSHG</th>\n",
       "      <th>688578.XSHG</th>\n",
       "      <th>688579.XSHG</th>\n",
       "      <th>688580.XSHG</th>\n",
       "      <th>688585.XSHG</th>\n",
       "      <th>688586.XSHG</th>\n",
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       "      <th>688596.XSHG</th>\n",
       "      <th>688598.XSHG</th>\n",
       "      <th>688599.XSHG</th>\n",
       "      <th>688600.XSHG</th>\n",
       "      <th>688608.XSHG</th>\n",
       "      <th>688617.XSHG</th>\n",
       "      <th>688618.XSHG</th>\n",
       "      <th>688656.XSHG</th>\n",
       "      <th>688658.XSHG</th>\n",
       "      <th>688668.XSHG</th>\n",
       "      <th>688678.XSHG</th>\n",
       "      <th>688679.XSHG</th>\n",
       "      <th>688686.XSHG</th>\n",
       "      <th>688698.XSHG</th>\n",
       "      <th>688699.XSHG</th>\n",
       "      <th>688777.XSHG</th>\n",
       "      <th>688788.XSHG</th>\n",
       "      <th>688819.XSHG</th>\n",
       "      <th>688981.XSHG</th>\n",
       "      <th>689009.XSHG</th>\n",
       "      <th>1_num</th>\n",
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       "      <td>0.099663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-20</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>417</td>\n",
       "      <td>4157</td>\n",
       "      <td>0.100313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-21</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>261</td>\n",
       "      <td>4160</td>\n",
       "      <td>0.062740</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "code        000001.XSHE  000002.XSHE    ...     countall     ratio\n",
       "day                                     ...                       \n",
       "2021-01-19        False        False    ...         4154  0.099663\n",
       "2021-01-20        False        False    ...         4157  0.100313\n",
       "2021-01-21        False        False    ...         4160  0.062740\n",
       "\n",
       "[3 rows x 4161 columns]"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fd3['ratio']  = fd3['1_num']/fd3['countall'] \n",
    "fd3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "y = fd3['ratio'] \n",
    "x = fd3.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "y2 = history(count=3,security_list='000001.XSHG')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots(1,1,figsize=(10,8))\n",
    "ax.plot(x,y,color= 'y',label ='市净率低于1的比值')\n",
    "plt.legend(loc=1)\n",
    "plt.title('市净率低于1的数量与上证指数对比图')\n",
    "\n",
    "ax1 = ax.twinx()\n",
    "ax1.plot(x,y2,color = 'r',label = '上证指数')\n",
    "plt.legend(loc=2)   \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.0"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": false,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "MarkDown菜单",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
